A framework to access handwritten information within large digitized paper collections. - Liana Diesendruck; Luigi Marini; Rob Kooper; Mayank Kejriwal; Kenton McHenry (eScience, 2012)

Digitization and search: A non-traditional use of HPC. - Liana Diesendruck; Luigi Marini; Rob Kooper; Mayank Kejriwal; Kenton McHenry (eScience, 2012)

Abstract: Digitization and Search: A Non-Traditional Use of HPC. - Liana Diesendruck; Luigi Marini; Rob Kooper; Mayank Kejriwal; Kenton McHenry (SC Companion, 2012)

Poster: Digitization and Search: A Non-Traditional Use of HPC. - Liana Diesendruck; Luigi Marini; Rob Kooper; Mayank Kejriwal; Kenton McHenry (SC Companion, 2012)

An Unsupervised Algorithm for Learning Blocking Schemes. - Mayank Kejriwal; Daniel P. Miranker (ICDM, 2013)

Extended scaled neural predictor for improved branch prediction. - Zihao Zhou; Mayank Kejriwal; Risto Miikkulainen (IJCNN, 2013)

Populating Entity Name Systems for Big Data Integration. - Mayank Kejriwal (ISWC (2), 2014)

On Linking Heterogeneous Dataset Collections. - Mayank Kejriwal; Daniel P. Miranker (ISWC (Posters & Demos), 2014)

A two-step blocking scheme learner for scalable link discovery. - Mayank Kejriwal; Daniel P. Miranker (OM, 2014)

Schema matching over relations, attributes, and data values. - Aibo Tian; Mayank Kejriwal; Daniel P. Miranker (SSDBM, 2014)

Sorted Neighborhood for the Semantic Web. - Mayank Kejriwal (AAAI, 2015)

Entity Resolution in a Big Data Framework. - Mayank Kejriwal (AAAI, 2015)

A pipeline for extracting and deduplicating domain-specific knowledge bases. - Mayank Kejriwal; Qiaoling Liu; Ferosh Jacob; Faizan Javed (IEEE BigData, 2015)

Semi-supervised Instance Matching Using Boosted Classifiers. - Mayank Kejriwal; Daniel P. Miranker (ESWC, 2015)

Minimally Supervised Instance Matching: An Alternate Approach. - Mayank Kejriwal; Daniel P. Miranker (ESWC (Satellite Events), 2015)

Sorted Neighborhood for Schema-Free RDF Data. - Mayank Kejriwal; Daniel P. Miranker (ESWC (Satellite Events), 2015)

Decision-Making Bias in Instance Matching Model Selection. - Mayank Kejriwal; Daniel P. Miranker (ISWC (1), 2015)

A DNF Blocking Scheme Learner for Heterogeneous Datasets. - Mayank Kejriwal; Daniel P. Miranker (CoRR, 2015)

On the Complexity of Sorted Neighborhood. - Mayank Kejriwal; Daniel P. Miranker (CoRR, 2015)

An unsupervised instance matcher for schema-free RDF data. - Mayank Kejriwal; Daniel P. Miranker (J. Web Semant., 2015)

Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations. - Mayank Kejriwal; Daniel P. Miranker (DSMM@SIGMOD, 2016)

An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets. - Janani Balaji; Faizan Javed; Mayank Kejriwal; Chris Min; Sam Sander; Ozgur Ozturk (CoRR, 2016)

Disjunctive Normal Form Schemes for Heterogeneous Attributed Graphs. - Mayank Kejriwal (CoRR, 2016)

Self-contained NoSQL Resources for Cross-Domain RDF. - Mayank Kejriwal; Daniel P. Miranker (CoRR, 2016)

Experience: Type alignment on DBpedia and Freebase. - Mayank Kejriwal; Daniel P. Miranker (CoRR, 2016)

Neural Embeddings for Populated Geonames Locations. - Mayank Kejriwal; Pedro A. Szekely (ISWC (2), 2017)

An Investigative Search Engine for the Human Trafficking Domain. - Mayank Kejriwal; Pedro A. Szekely (ISWC (2), 2017)

A Semantic Search Engine For Investigating Human Trafficking. - Mayank Kejriwal; Thomas Schellenberg; Pedro A. Szekely (ISWC (Posters, Demos & Industry Tracks), 2017)

Using contexts and constraints for improved geotagging of human trafficking webpages. - Rahul Kapoor; Mayank Kejriwal; Pedro A. Szekely (GeoRich@SIGMOD, 2017)

Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain. - Mayank Kejriwal (DSMM@SIGMOD, 2017)

Supervised typing of big graphs using semantic embeddings. - Mayank Kejriwal; Pedro A. Szekely (SBD@SIGMOD, 2017)

Information Extraction in Illicit Web Domains. - Mayank Kejriwal; Pedro A. Szekely (WWW, 2017)

Populating a linked data entity name system. - Mayank Kejriwal (AI Matters, 2017)

Information Extraction in Illicit Domains. - Mayank Kejriwal; Pedro A. Szekely (CoRR, 2017)

FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining. - Mayank Kejriwal; Jiayuan Ding; Runqi Shao; Anoop Kumar; Pedro A. Szekely (CoRR, 2017)

Scalable Generation of Type Embeddings Using the ABox. - Mayank Kejriwal; Pedro A. Szekely (Open J. Semantic Web, 2017)

Populating a Linked Data Entity Name System - A Big Data Solution to Unsupervised Instance Matching - Mayank Kejriwal (IOS Press, 2017)

Constructing Domain-Specific Search Engines With No Programming. - Mayank Kejriwal; Pedro A. Szekely (AAAI, 2018)

Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. - Kyle Hundman; Thamme Gowda; Mayank Kejriwal; Benedikt Boecking (AIES, 2018)

Technology-assisted Investigative Search: A Case Study from an Illicit Domain. - Mayank Kejriwal; Pedro A. Szekely (CHI Extended Abstracts, 2018)

Structured Event Entity Resolution in Humanitarian Domains. - Mayank Kejriwal; Jing Peng; Haotian Zhang; Pedro A. Szekely (ISWC (1), 2018)

GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. - Tongtao Zhang; Ananya Subburathinam; Ge Shi 002; Lifu Huang; Di Lu 003; Xiaoman Pan; Manling Li; Boliang Zhang; Qingyun Wang 005; Spencer Whitehead; Heng Ji 001; Alireza Zareian; et al. (TAC, 2018)

BigNet 2018 Chairs' Welcome & Organization. - Jie Tang 001; Michalis Vazirgiannis; Yuxiao Dong; Fragkiskos D. Malliaros; Michael Cochez; Mayank Kejriwal; Achim Rettinger (WWW (Companion Volume), 2018)

THOR: Text-enabled Analytics for Humanitarian Operations. - Mayank Kejriwal; Daniel Gilley; Pedro A. Szekely; Jill Crisman (WWW (Companion Volume), 2018)

Domain-specific Insight Graphs (DIG). - Pedro A. Szekely; Mayank Kejriwal (WWW (Companion Volume), 2018)

How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls. - Daye Nam; Mayank Kejriwal (Computer, 2018)

A Pipeline for Post-Crisis Twitter Data Acquisition. - Mayank Kejriwal; Yao Gu (CoRR, 2018)

Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics. - Yao Gu; Mayank Kejriwal (CoRR, 2018)

Investigative Knowledge Discovery for Combating Illicit Activities. - Mayank Kejriwal; Pedro A. Szekely; Craig A. Knoblock (IEEE Intell. Syst., 2018)

Low-supervision urgency detection and transfer in short crisis messages. - Mayank Kejriwal; Peilin Zhou (ASONAM, 2019)

SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data. - Mayank Kejriwal; Peilin Zhou (ASONAM, 2019)

Concept drift in bias and sensationalism detection: an experimental study. - Shuo Zhang; Mayank Kejriwal (ASONAM, 2019)

Co-LOD: Continuous Space Linked Open Data. - Mayank Kejriwal; Pedro A. Szekely (ISWC (Satellites), 2019)

Unsupervised Product Entity Resolution using Graph Representation Learning. - Mozhdeh Gheini; Mayank Kejriwal (eCOM@SIGIR, 2019)

Expert-Guided Entity Extraction using Expressive Rules. - Mayank Kejriwal; Runqi Shao; Pedro A. Szekely (SIGIR, 2019)

Network-theoretic information extraction quality assessment in the human trafficking domain. - Mayank Kejriwal; Rahul Kapoor (Appl. Netw. Sci., 2019)

myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming. - Mayank Kejriwal; Pedro A. Szekely (Future Internet, 2019)

Knowledge graphs: Construction, management and querying. - Mayank Kejriwal; Juan F. Sequeda; Vanessa López (Semantic Web, 2019)

Domain-Specific Knowledge Graph Construction - Mayank Kejriwal (Springer, 2019)

Locally Constructing Product Taxonomies from Scratch Using Representation Learning. - Mayank Kejriwal; Ravi Kiran Selvam; Chien-Chun Ni; Nicolas Torzec (ASONAM, 2020)

Structural studies of the global networks exposed in the Panama papers. - Mayank Kejriwal; Akarsh Dang (Appl. Netw. Sci., 2020)

Network-theoretic modeling of complex activity using UK online sex advertisements. - Mayank Kejriwal; Yao Gu (Appl. Netw. Sci., 2020)

On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices. - Ravi Kiran Selvam; Mayank Kejriwal (CoRR, 2020)

An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction. - Jiayuan Ding; Mayank Kejriwal (CoRR, 2020)

Do Fine-tuned Commonsense Language Models Really Generalize? - Mayank Kejriwal; Ke Shen 003 (CoRR, 2020)

A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base. - Ke Shen 003; Mayank Kejriwal (CoRR, 2020)

On detecting urgency in short crisis messages using minimal supervision and transfer learning. - Mayank Kejriwal; Peilin Zhou (Soc. Netw. Anal. Min., 2020)

Empirical Best Practices On Using Product-Specific Schema.org. - Mayank Kejriwal; Ravi Kiran Selvam; Chien-Chun Ni; Nicolas Torzec (AAAI, 2021)

Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts. - Mayank Kejriwal; Ke Shen 003 (ASONAM, 2021)

On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models. - Ke Shen 003; Mayank Kejriwal (SGAI Conf., 2021)

A Feasibility Study of Open-Source Sentiment Analysis and Text Classification Systems on Disaster-Specific Social Media Data. - Mayank Kejriwal; Ge Fang; Ying Zhou (SSCI, 2021)

An evaluation and annotation methodology for product category matching in e-commerce. - Mayank Kejriwal; Ke Shen 003; Chien-Chun Ni; Nicolas Torzec (Comput. Ind., 2021)

Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. - Marina Haliem; Trevor Bonjour; Aala Oqab Alsalem; Shilpa Thomas; Hongyu Li; Vaneet Aggarwal; Bharat K. Bhargava; Mayank Kejriwal (CoRR, 2021)

Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets. - Sara Melotte; Mayank Kejriwal (CoRR, 2021)

A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period. - Sara Melotte; Mayank Kejriwal (Data, 2021)

Link Prediction Between Structured Geopolitical Events: Models and Experiments. - Mayank Kejriwal (Frontiers Big Data, 2021)

Socioeconomic Correlates of Anti-Science Attitudes in the US. - Minda Hu; Ashwin Rao; Mayank Kejriwal; Kristina Lerman (Future Internet, 2021)

Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables. - Mayank Kejriwal (Inf., 2021)

An empirical study of emoji usage on Twitter in linguistic and national contexts. - Mayank Kejriwal; Qile Wang; Hongyu Li; Lu Wang (Online Soc. Networks Media, 2021)

A meta-engine for building domain-specific search engines. - Mayank Kejriwal (Softw. Impacts, 2021)

A multi-agent simulator for generating novelty in monopoly. - Mayank Kejriwal; Shilpa Thomas (Simul. Model. Pract. Theory, 2021)

Evaluating Language Representation Models on Approximately Rational Decision Making Problems. - Mayank Kejriwal; Zhisheng Tang (CogSci, 2022)

On the Empirical Association Between Trade Network Complexity and Global Gross Domestic Product. - Mayank Kejriwal; Yuesheng Luo (COMPLEX NETWORKS (1), 2022)

Understanding COVID-19 Vaccine Reaction Through Comparative Analysis on Twitter. - Yuesheng Luo; Mayank Kejriwal (SAI (1), 2022)

Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks? - Mayank Kejriwal; Ke Shen 003 (CoRR, 2022)

A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. - Henrique Santos 002; Ke Shen 003; Alice M. Mulvehill; Yasaman Razeghi; Deborah L. McGuinness; Mayank Kejriwal (CoRR, 2022)

Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing. - Akarsh Nagaraj; Mayank Kejriwal (CoRR, 2022)

Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes. - Ke Shen 003; Mayank Kejriwal (CoRR, 2022)

Understanding Substructures in Commonsense Relations in ConceptNet. - Ke Shen 003; Mayank Kejriwal (CoRR, 2022)

Can Language Representation Models Think in Bets? - Zhisheng Tang; Mayank Kejriwal (CoRR, 2022)

Transfer-based taxonomy induction over concept labels. - Mayank Kejriwal; Ke Shen 003; Chien-Chun Ni; Nicolas Torzec (Eng. Appl. Artif. Intell., 2022)

Knowledge Graphs: A Practical Review of the Research Landscape. - Mayank Kejriwal (Inf., 2022)

Designing a strong test for measuring true common-sense reasoning. - Mayank Kejriwal; Henrique Santos 002; Alice M. Mulvehill; Deborah L. McGuinness (Nat. Mach. Intell., 2022)

Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain. - Mayank Kejriwal; Pedro A. Szekely (IEEE Trans. Big Data, 2022)

Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. - Trevor Bonjour; Marina Haliem; Aala Oqab Alsalem; Shilpa Thomas; Hongyu Li; Vaneet Aggarwal; Mayank Kejriwal; Bharat K. Bhargava (IEEE Trans. Emerg. Top. Comput. Intell., 2022)

Measuring spatio-textual affinities in twitter between two urban metropolises. - Minda Hu; Mayank Kejriwal (J. Comput. Soc. Sci., 2022)

Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google - Mayank Kejriwal (Springer, 2023)

Context-Rich Evaluation of Machine Common Sense. - Mayank Kejriwal; Henrique Santos 002; Ke Shen 003; Alice M. Mulvehill; Deborah L. McGuinness (AGI, 2023)

Can Language Models Be Used in Multistep Commonsense Planning Domains? - Zhisheng Tang; Mayank Kejriwal (AGI, 2023)

Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents. - Prasad Calyam; Mayank Kejriwal; Praveen Rao 001; Jianlin Cheng; Weichao Wang; Linquan Bai; V. Sriram Siddhardh Nadendla; Sanjay Madria; Sajal K. Das 001; Rohit Chadha; Khaza Anuarul Hoque; Kannappan Palaniappan; et al. (AIPR, 2023)

DeepGraph: Multi-Cluster Interactive Visualization of Complex Networks in a Learned Representation Space. - Yidan Sun; Mayank Kejriwal (ASONAM, 2023)

A structural study of Big Tech firm-switching of inventors in the post-recession era. - Yidan Sun; Mayank Kejriwal (ASONAM, 2023)

An Analytical Approximation of Simplicial Complex Distributions in Communication Networks. - Ke Shen 003; Mayank Kejriwal (COMPLEX NETWORKS (4), 2023)

A Model and Structural Analysis of Networked Bitcoin Transaction Flows. - Min-Hsueh Chiu; Mayank Kejriwal (COMPLEX NETWORKS (3), 2023)

Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. - Xiyao Cheng; Yuanxun Zhang; Harsh Joshi; Mayank Kejriwal; Prasad Calyam (DSAA, 2023)

Substructure Discovery in Commonsense Relations Using Graph Representation Learning. - Ke Shen 003; Mayank Kejriwal (IntelliSys (1), 2023)

Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study. - Xinyu Liu; Tiancheng Sun; Diantian Fu; Zijue Li; Sheng Qian; Ruyue Meng; Mayank Kejriwal (KGSWC, 2023)

A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning. - Zhisheng Tang; Mayank Kejriwal (CoRR, 2023)

Toward Defining a Domain Complexity Measure Across Domains. - Katarina Doctor; Christine Task; Eric J. Kildebeck; Mayank Kejriwal; Lawrence Holder; Russell Leong (CoRR, 2023)

Named Entity Resolution in Personal Knowledge Graphs. - Mayank Kejriwal (CoRR, 2023)

A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores. - Ke Shen 003; Mayank Kejriwal (CoRR, 2023)

A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain. - Mayank Kejriwal; Hamid Haidarian; Min-Hsueh Chiu; Andy Xiang; Deep Shrestha; Faizan Javed (CoRR, 2023)

How does prompt engineering affect ChatGPT performance on unsupervised entity resolution? - Khanin Sisaengsuwanchai; Navapat Nananukul; Mayank Kejriwal (CoRR, 2023)

HALO: An Ontology for Representing Hallucinations in Generative Models. - Navapat Nananukul; Mayank Kejriwal (CoRR, 2023)

Understanding and Estimating Domain Complexity Across Domains. - Katarina Doctor; Mayank Kejriwal; Lawrence Holder; Eric J. Kildebeck; Emma Resmini; Christopher Pereyda; Robert J. Steininger; Daniel V. Olivença (CoRR, 2023)

Evaluating deep generative models on cognitive tasks: a case study. - Zhisheng Tang; Mayank Kejriwal (Discov. Artif. Intell., 2023)

TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark. - Henrique Santos 002; Ke Shen 003; Alice M. Mulvehill; Mayank Kejriwal; Deborah L. McGuinness (Zenodo, 2023)

TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark. - Henrique Santos 002; Ke Shen 003; Alice M. Mulvehill; Mayank Kejriwal; Deborah L. McGuinness (Zenodo, 2023)

TG-CSR: Theoretically-Grounded Commonsense Reasoning Benchmark. - Henrique Santos 002; Ke Shen 003; Alice M. Mulvehill; Mayank Kejriwal; Deborah L. McGuinness (Zenodo, 2023)

TG-CSR Annotations. - Henrique Santos 002; Alice M. Mulvehill; Ke Shen 003; Mayank Kejriwal; Deborah L. McGuinness (Zenodo, 2023)

An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks. - Ke Shen 003; Mayank Kejriwal (Expert Syst. J. Knowl. Eng., 2023)

Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract). - Adin Aberbach; Mayank Kejriwal; Ke Shen 003 (AAAI, 2024)

Influence Role Recognition and LLM-Based Scholar Recommendation in Academic Social Networks. - Xiyao Cheng; Lakshmi Srinivas Edara; Yuanxun Zhang; Mayank Kejriwal; Prasad Calyam (DSAA, 2024)

Designing Social Good Semantic Computing Architectures for the Long Tail: Case Studies, Evaluation, and Challenges. - Mayank Kejriwal (ICSC, 2024)

A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization. - Mayank Kejriwal; Hamid Haidarian; Min-Hsueh Chiu; Andy Xiang; Deep Shrestha; Faizan Javed (SIGIR, 2024)

An Evaluation of Estimative Uncertainty in Large Language Models. - Zhisheng Tang; Ke Shen 003; Mayank Kejriwal (CoRR, 2024)

Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptions. - Yongyi Ji; Zhisheng Tang; Mayank Kejriwal (CoRR, 2024)

GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning. - Zhisheng Tang; Mayank Kejriwal (CoRR, 2024)

Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference. - Ke Shen 003; Mayank Kejriwal (CoRR, 2024)

SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL. - Ke Shen 003; Mayank Kejriwal (CoRR, 2024)

Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models. - Zhisheng Tang; Mayank Kejriwal (CoRR, 2024)

Modeling and Simulating Agent-Based City Migration Using Conway's Game of Life. - Bruce Deng; Mayank Kejriwal (CoRR, 2024)

Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain. - Navapat Nananukul; Khanin Sisaengsuwanchai; Mayank Kejriwal (Discov. Artif. Intell., 2024)

A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense. - Henrique Santos 002; Ke Shen 003; Alice M. Mulvehill; Mayank Kejriwal; Deborah L. McGuinness (Data Intell., 2024)

Challenges, evaluation and opportunities for open-world learning. - Mayank Kejriwal; Eric J. Kildebeck; Robert J. Steininger; Abhinav Shrivastava (Nat. Mac. Intell., 2024)

Advancing computational sustainability in higher education. - Mayank Kejriwal; Victoria Petryshyn (Nat. Comput. Sci., 2024)

Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning. - Cole Gawin; Yidan Sun; Mayank Kejriwal (WWW (Companion Volume), 2025)

Commonsense AI in the History of the Web. - Mayank Kejriwal; Deborah L. McGuinness; Henry Lieberman (WWW (Companion Volume), 2025)

Designing Semantic Computing for Social Good Applications with Long Tails. - Mayank Kejriwal (Int. J. Semantic Comput., 2025)

Code-Driven Planning in Grid Worlds with Large Language Models. - Ashwath Vaithinathan Aravindan; Zhisheng Tang; Mayank Kejriwal (CoRR, 2025)

Modeling Inequality in Complex Networks of Strategic Agents using Iterative Game-Theoretic Transactions. - Mayank Kejriwal; Yuesheng Luo (CoRR, 2025)

Generating Novelty in Open-World Multi-Agent Strategic Board Games. - Mayank Kejriwal; Shilpa Thomas (CoRR, 2025)